As with all Schaum Outlines series, this is an excellent book
for every college/univserity degree level student facing
the statistics finals. Over 800 pages long, hundreds of
examples, covering descriptive and inductive methods at length
, together with the vital mathematical theory
give the reader the background needed to pass any statistics
finals. I used this when learning for mine, and it worked
out great. "
The downfall of this particular text is the extent at which particular knowledge is assumed. This text fails to explain thoroughly some important concepts and i would suggest that you opt for something called 'understanding statistics' by oxford university press. That book takes a different approach, by placing questions into context and written explanation takes up the majority of the book. Overall this book is good as a 'refresher' but those starting a statistics course will find this hard to follow. How long will it take before people realise that you cant learn just from worked examples?
While im on this criticizing streak i might as well talk about the flimsy, cheap quality of the schaum books. Why is it that the pages are so thin and tear soo easily? "
This book is full of Statistical calculation problems and some worked examples without adequate or deeper Theoretical explanation of the concepts, hence making it difficult to use as a beginer, I would prefer Statistics and Probability for Engineers and Scientist by Hayter especially if you are an Engineering or Science Student, however if you are already well grounded in Advanced statistics and probability and looking for some problems to solve, it might be useful, for me, it's not. I recommend using it in conjuction with another book that will explain the concepts better "